Relevant bibliographies by topics / Geopositioning

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Geopositioning'

Author: Grafiati
Published: 4 June 2021
Last updated: 3 February 2022

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Journal articles on the topic "Geopositioning"

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Zhu, Quansheng, Wanshou Jiang, Ying Zhu, and Linze Li. "Geometric Accuracy Improvement Method for High-Resolution Optical Satellite Remote Sensing Imagery Combining Multi-Temporal SAR Imagery and GLAS Data." Remote Sensing 12, no. 3 (February 8, 2020): 568. http://dx.doi.org/10.3390/rs12030568.

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With the widespread availability of satellite data, a single region can be described using multi-source and multi-temporal remote sensing data, such as high-resolution (HR) optical imagery, synthetic aperture radar (SAR) imagery, and space-borne laser altimetry data. These have become the main source of data for geopositioning. However, due to the limitation of the direct geometric accuracy of HR optical imagery and the effect of the small intersection angle of HR optical imagery in stereo pair orientation, the geometric accuracy of HR optical imagery cannot meet the requirements for geopositioning without ground control points (GCPs), especially in uninhabited areas, such as forests, plateaus, or deserts. Without satellite attitude error, SAR usually provides higher geometric accuracy than optical satellites. Space-borne laser altimetry technology can collect global laser footprints with high altitude accuracy. Therefore, this paper presents a geometric accuracy improvement method for HR optical satellite remote sensing imagery combining multi-temporal SAR Imagery and GLAS data without GCPs. Based on the imaging mechanism, the differences in the weight matrix determination of the HR optical imagery and SAR imagery were analyzed. The laser altimetry data with high altitude accuracy were selected and applied as height control point in combined geopositioning. To validate the combined geopositioning approach, GaoFen2 (GF2) optical imagery, GaoFen6 (GF6) optical imagery, GaoFen3 (GF3) SAR imagery, and the Geoscience Laser Altimeter System (GLAS) footprint were tested. The experimental results show that the proposed model can be effectively applied to combined geopositioning to improve the geometric accuracy of HR optical imagery. Moreover, we found that the distribution and weight matrix determination of SAR images and the distribution of GLAS footprints are the crucial factors influencing geometric accuracy. Combined geopositioning using multi-source remote sensing data can achieve a plane accuracy of 1.587 m and an altitude accuracy of 1.985 m, which is similar to the geometric accuracy of geopositioning of GF2 with GCPs.
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Geng, X., Q. Xu, J. Wang, and S. Xing. "AUTOMATIC EVALUATION OF THE INITIAL GEOPOSITIONING ACCURACY FOR LARGE AREA PLANETARY REMOTE SENSING IMAGES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2020 (August 21, 2020): 1125–28. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2020-1125-2020.

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Abstract. The photogrammetric processing of large area planetary remote sensing images is still a very challenging work. In addition to the lack of ground control data and poor tie points extraction, the insufficient knowledge of the initial geopositioning accuracy of the planetary images also increases the difficulty of processing. This paper presents an automatic evaluation method of the initial geopositioning accuracy for large area planetary remote sensing images. The accuracy evaluation method was conducted through image matching on approximate orthophotos derived using coarse resolution digital elevation model (DEM). To improve the orthophotos generation efficiency of linear pushbroom images, a fast ground-to-image transformation algorithm and multi-threaded parallel computing are adopted. The classical normalized cross correlation (NCC) and pyramid matching schemes are used to perform image matching between overlapping orthophotos. Because the conjugate points on orthophotos contain geographic coordinates, we can derive the statistics information (e.g., maximum errors, mean errors and standard deviation) about the geopositioning accuracy of the planetary images. Although it’s actually an evaluation result of relative accuracy, the quantitative geopositioning accuracy information of stereopairs can be used to (1) specify the search window size and the starting position of conjugate points for tie points extraction; (2) set the weight value of bundle adjustment; and (3) identify images with abnormal geopositioning accuracy. Tens of Mars Express (MEX) High Resolution Stereo Camera (HRSC) images were used to conduct the test. The experimental results demonstrate that the proposed method shows high computational efficiency and automation degree. The automatic evaluation of the initial geopositioning accuracy of the planetary images is helpful to produce large area planetary mapping products.
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Perosanz, Félix. "GNSS: A revolution for precise geopositioning." Comptes Rendus Physique 20, no. 3 (March 2019): 171–75. http://dx.doi.org/10.1016/j.crhy.2019.05.018.

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Kaveeshwar, Ashok. "THE STARSYS DATA MESSAGING AND GEOPOSITIONING SYSTEM." International Journal of Satellite Communications 12, no. 1 (January 1994): 63–69. http://dx.doi.org/10.1002/sat.4600120108.

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Fraser, Clive, Harry Hanley, and Takeshi Yamakawa. "Three‐Dimensional Geopositioning Accuracy of Ikonos Imagery." Photogrammetric Record 17, no. 99 (April 2002): 465–79. http://dx.doi.org/10.1111/0031-868x.00199.

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Fan, Zhongli, Li Zhang, Yuxuan Liu, Qingdong Wang, and Sisi Zlatanova. "Exploiting High Geopositioning Accuracy of SAR Data to Obtain Accurate Geometric Orientation of Optical Satellite Images." Remote Sensing 13, no. 17 (September 6, 2021): 3535. http://dx.doi.org/10.3390/rs13173535.

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Accurate geopositioning of optical satellite imagery is a fundamental step for many photogrammetric applications. Considering the imaging principle and data processing manner, SAR satellites can achieve high geopositioning accuracy. Therefore, SAR data can be a reliable source for providing control information in the orientation of optical satellite images. This paper proposes a practical solution for an accurate orientation of optical satellite images using SAR reference images to take advantage of the merits of SAR data. Firstly, we propose an accurate and robust multimodal image matching method to match the SAR and optical satellite images. This approach includes the development of a new structural-based multimodal applicable feature descriptor that employs angle-weighted oriented gradients (AWOGs) and the utilization of a three-dimensional phase correlation similarity measure. Secondly, we put forward a general optical satellite imagery orientation framework based on multiple SAR reference images, which uses the matches of the SAR and optical satellite images as virtual control points. A large number of experiments not only demonstrate the superiority of the proposed matching method compared to the state-of-the-art methods but also prove the effectiveness of the proposed orientation framework. In particular, the matching performance is improved by about 17% compared with the latest multimodal image matching method, namely, CFOG, and the geopositioning accuracy of optical satellite images is improved, from more than 200 to around 8 m.
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Oh, Kwan-Young, Hyung-Sup Jung, Won-Jin Lee, and Dong-Taek Lee. "3D Geopositioning Accuracy Assessment Using KOMPSAT-2 RPC." Korean Journal of Geomatics 29, no. 1 (February 28, 2011): 1–9. http://dx.doi.org/10.7848/ksgpc.2011.29.1.1.

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Sweet, William. "Loser: Geopositioning - No Payoff For Galileo Navigation System." IEEE Spectrum 45, no. 1 (2008): 48–49. http://dx.doi.org/10.1109/mspec.2008.4428315.

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Di, K., B. Xu, B. Liu, M. Jia, and Z. Liu. "GEOPOSITIONING PRECISION ANALYSIS OF MULTIPLE IMAGE TRIANGULATION USING LRO NAC LUNAR IMAGES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B4 (June 13, 2016): 369–74. http://dx.doi.org/10.5194/isprsarchives-xli-b4-369-2016.

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This paper presents an empirical analysis of the geopositioning precision of multiple image triangulation using Lunar Reconnaissance Orbiter Camera (LROC) Narrow Angle Camera (NAC) images at the Chang’e-3(CE-3) landing site. Nine LROC NAC images are selected for comparative analysis of geopositioning precision. Rigorous sensor models of the images are established based on collinearity equations with interior and exterior orientation elements retrieved from the corresponding SPICE kernels. Rational polynomial coefficients (RPCs) of each image are derived by least squares fitting using vast number of virtual control points generated according to rigorous sensor models. Experiments of different combinations of images are performed for comparisons. The results demonstrate that the plane coordinates can achieve a precision of 0.54 m to 2.54 m, with a height precision of 0.71 m to 8.16 m when only two images are used for three-dimensional triangulation. There is a general trend that the geopositioning precision, especially the height precision, is improved with the convergent angle of the two images increasing from several degrees to about 50°. However, the image matching precision should also be taken into consideration when choosing image pairs for triangulation. The precisions of using all the 9 images are 0.60 m, 0.50 m, 1.23 m in along-track, cross-track, and height directions, which are better than most combinations of two or more images. However, triangulation with selected fewer images could produce better precision than that using all the images.
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Di, K., B. Xu, B. Liu, M. Jia, and Z. Liu. "GEOPOSITIONING PRECISION ANALYSIS OF MULTIPLE IMAGE TRIANGULATION USING LRO NAC LUNAR IMAGES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B4 (June 13, 2016): 369–74. http://dx.doi.org/10.5194/isprs-archives-xli-b4-369-2016.

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This paper presents an empirical analysis of the geopositioning precision of multiple image triangulation using Lunar Reconnaissance Orbiter Camera (LROC) Narrow Angle Camera (NAC) images at the Chang’e-3(CE-3) landing site. Nine LROC NAC images are selected for comparative analysis of geopositioning precision. Rigorous sensor models of the images are established based on collinearity equations with interior and exterior orientation elements retrieved from the corresponding SPICE kernels. Rational polynomial coefficients (RPCs) of each image are derived by least squares fitting using vast number of virtual control points generated according to rigorous sensor models. Experiments of different combinations of images are performed for comparisons. The results demonstrate that the plane coordinates can achieve a precision of 0.54 m to 2.54 m, with a height precision of 0.71 m to 8.16 m when only two images are used for three-dimensional triangulation. There is a general trend that the geopositioning precision, especially the height precision, is improved with the convergent angle of the two images increasing from several degrees to about 50°. However, the image matching precision should also be taken into consideration when choosing image pairs for triangulation. The precisions of using all the 9 images are 0.60 m, 0.50 m, 1.23 m in along-track, cross-track, and height directions, which are better than most combinations of two or more images. However, triangulation with selected fewer images could produce better precision than that using all the images.
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Dissertations / Theses on the topic "Geopositioning"

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Antunes, Maria Ubaldina Ferreira. "ANÁLISE DA EVOLUÇÃO ESPAÇO-TEMPORAL DA PRODUTIVIDADE DE UMA LAVOURA DE SOJA (Glycine max (L.)Merrill). ESTUDO DE CASO." Universidade Federal de Santa Maria, 2006. http://repositorio.ufsm.br/handle/1/9599.

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This work consists in presenting and discussing a methodology of interpretation of the temporal evolution of the productivity of agricultural cultures, whose harvests were realized by machines equipped with income and geopositioning sensors. From three distinct scenes, the evolution of the productivity of a soy farming was studied, considering three agricultural harvests, 2000/2001, 2002/2003 and 2003/2004 This study made possible to calculate the dimensions and to define the possibilities and limitations that are find in each scene, as well as concluding that the methodology presented for study of temporal dynamics, makes possible the georreferenced spacialization of the variability of the productivity difference between two successive harvests
Este trabalho consiste, em apresentar e discutir uma metodologia de interpretação da evolução temporal da produtividade de culturas agrícolas, cujas colheitas foram realizadas por máquinas equipadas com sensores de rendimento e de geoposicionamento. A partir de três cenários distintos, foi estudada a evolução da produtividade de uma lavoura de soja, considerando-se três safras agrícolas, a safra 2000/2001, a safra 2002/2003 e a safra de 2004/2005. Este estudo possibilitou dimensionar e definir as possibilidades e limitações que se encontram em cada cenário, bem como concluir que a metodologia apresentada para estudo de dinâmica temporal, possibilita a espacialização georreferenciada da variabilidade da diferença de produtividade entre duas safras sucessivas
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Benedetti, Manuel. "Un algoritmo di geolocalizzazione indoor basato su magnetismo." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/13276/.

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Negli ultimi anni, il problema della localizzazione indoor tramite dispositivi mobili è stato oggetto di numerose ricerche volte a sperimentare l'impiego di tecnologie diverse e a identificare vantaggi e svantaggi di ciascuna di esse. Nell'ambito di questa tesi, si approfondisce una tecnica di fingerprinting basata su magnetismo che presenta l'importante vantaggio di non necessitare di alcuna infrastruttura di supporto. Viene sviluppata un'applicazione Android che implementa una tecnica di pattern matching frutto di contributi originali, applicando al caso del magnetismo alcune soluzioni software elaborate nel corso di studi precedenti sulla localizzazione indoor relativi a tecnologie differenti. Particolare attenzione è rivolta all'analisi dei risultati ottenuti dal testing del sistema su diversi scenari indoor e al confronto con sistemi esistenti che fanno uso di una simile tecnologia. Vengono discussi possibili sviluppi con l'intento di sfruttare appieno gli aspetti positivi individuati nel corso di questo studio.
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Huttunen, Marco. "Digitaliseringens påverkan pådelningsekonomin inom bilindustrin : Behovet av geopositionering och nyckellös åtkomstinom bildelningen i Sverige." Thesis, Karlstads universitet, Handelshögskolan, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-56684.

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Books on the topic "Geopositioning"

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Nait-Sidi-Moh, Ahmed, Mohamed Bakhouya, Jaafar Gaber, and Maxime Wack, eds. Geopositioning and Mobility. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118743751.

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Bakhouya, Mohamed, Jaafar Gaber, Maxime Wack, and Ahmed Nait-Sidi-Moh. Geopositioning and Mobility. Wiley & Sons, Incorporated, John, 2013.

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Bakhouya, Mohamed, Jaafar Gaber, Maxime Wack, and Ahmed Nait-Sidi-Moh. Geopositioning and Mobility. Wiley & Sons, Incorporated, John, 2013.

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Geopositioning and Mobility Iste. ISTE Ltd and John Wiley & Sons Inc, 2013.

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Knieps, Günter, and Volker Stocker, eds. The Future of the Internet. Nomos Verlagsgesellschaft mbH & Co. KG, 2019. http://dx.doi.org/10.5771/9783748902096.

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Strong dynamics and multifaceted innovations characterise the Internet. In this rapidly evolving ecosystem, challenges but also questions concerning innovation, integration and sustainability arise. The Internet of things brings disruptive innovations which are no longer limited to communication applications, but rather spur the transition of traditional network industries into intelligent (smart) networks. Critical requirements are QoS differentiated All-IP bandwidth capacities combined with sensor networks, geopositioning services and big data. In this volume, leading international researchers present their latest findings on the dynamics of the Internet in the future, covering a variety of current and highly relevant issues related to the Internet of things, 5G, interconnection, Internet ecosystem innovation and network neutrality. With contributions by Günter Knieps, Volker Stocker, Bert Sadowski, Onder Nomaler, Jason Whalley, Thomas Fetzer, Johannes M. Bauer, William Lehr, Iris Henseler-Unger, Falk von Bornstaedt, Marlies Van der Wee, ­Frederic Vannieuwenborg, Sofie Verbrugge, Christopher S. Yoo, Jesse Lambert­
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Book chapters on the topic "Geopositioning"

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Alexandre, Yves. "The Geopositioning Concept." In Geopositioning and Mobility, 1–29. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118743751.ch1.

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Piette-Coudol, Thierry. "Geopositioning and Legal Issues." In Geopositioning and Mobility, 75–102. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118743751.ch4.

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Legenne, Jérôme, and Daniel Brocard. "Functions and Performance of the Egnos System." In Geopositioning and Mobility, 31–45. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118743751.ch2.

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de La Fortelle, Arnaud, Jean-Marc Lasgouttes, and Fabien Moutarde. "Information, Modeling and Traffic Reconstruction." In Geopositioning and Mobility, 47–73. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118743751.ch3.

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Ait-Cheik-Bihi, Wafaa, Ahmed Nait-Sidi-Moh, Mohamed Bakhouya, Jaafar Gaber, and Maxime Wack. "Location-based Services: Platforms and Applications." In Geopositioning and Mobility, 103–25. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118743751.ch5.

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Reclus, Fabrice. "Geofencing." In Geopositioning and Mobility, 127–54. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118743751.ch6.

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Gilliéron, Pierre-Yves, Véronique Chazal, Michael Flamm, Dominique von der Mühll, and Monique Ruzicka-Rossier. "Pedestrian Navigation for the Benefit of Mobility." In Geopositioning and Mobility, 155–201. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118743751.ch7.

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Gendre, Patrick, Alexis Bacelar, and Philippe Marchal. "The Application of Satellite Positioning Systems in Travel Analysis." In Geopositioning and Mobility, 203–22. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118743751.ch8.

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Le Yaouanc, Jean-Marie, Éric Saux, and Christophe Claramunt. "A Visibility and Spatial Constraint-Based Approach for Geopositioning." In Geographic Information Science, 145–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15300-6_11.

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Song, Ha Yoon, and Suchan Hong. "Investigating Cyclic Visit Pattern of Mobility Through Analysis of Geopositioning Data." In Computational Science and Its Applications – ICCSA 2019, 589–602. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24289-3_44.

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Conference papers on the topic "Geopositioning"

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Imbriaco, Raffaele, Clint Sebastian, Egor Bondarev, and Peter de With. "Towards accurate camera geopositioning by image matching." In Eleventh International Conference on Machine Vision, edited by Dmitry P. Nikolaev, Petia Radeva, Antanas Verikas, and Jianhong Zhou. SPIE, 2019. http://dx.doi.org/10.1117/12.2522999.

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Dolloff, John, Bryant Hottel, Peter Doucette, Aaron Braun, Henry Theiss, and Adam Gurson. "Full motion video geopositioning algorithm integrated test bed." In SPIE Defense + Security, edited by Matthew F. Pellechia, Kannappan Palaniappan, Peter J. Doucette, Shiloh L. Dockstader, and Gunasekaran Seetharaman. SPIE, 2015. http://dx.doi.org/10.1117/12.2178382.

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Howland, J. C., N. B. W. Macfarlane, and P. Tyack. "Precise geopositioning of marine mammals using stereo photogrammetry." In OCEANS 2012. IEEE, 2012. http://dx.doi.org/10.1109/oceans.2012.6404859.

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Carpenter, Jeffrey J., Paul V. Whalen, Michael J. Lenihan, Kurt R. Rogers, Henry J. Theiss, John Dolloff, and Aaron W. Braun. "Methods and implications of geopositioning from full motion video." In SPIE Defense, Security, and Sensing, edited by Donnie Self. SPIE, 2013. http://dx.doi.org/10.1117/12.2018048.

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Liu Jun, Wang honghong, Fan Yonghong, and Wang Hui. "Geopositioning of ADS40 three line images for large scale mapping." In 2009 Joint Urban Remote Sensing Event. IEEE, 2009. http://dx.doi.org/10.1109/urs.2009.5137518.

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Vychuzhanin, Vladimir V., Denis S. Shibaev, Nickolay D. Rudnichenko, Victor D. Boyko, and Natalia O. Shibaeva. "Big data mapping in the geopositioning systems for fishing industry." In 2017 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT). IEEE, 2017. http://dx.doi.org/10.1109/stc-csit.2017.8098729.

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Marins, Carlos Nazareth Motta, Pierre Kaufmann, Antonio Alves Ferreira, Marcelo Carneiro de Paiva, Jacobus W. Swart, and Adonias Costa da Silveira. "Power reduction on QPSK modulation codings for geopositioning application using LEO satellites." In 2009 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC 2009). IEEE, 2009. http://dx.doi.org/10.1109/imoc.2009.5427582.

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Pritt, Mark D., Michael Gribbons, and Kevin LaTourette. "Automated cross-sensor registration, orthorectification and geopositioning using LIDAR digital elevation models." In 2010 IEEE Applied Imagery Pattern Recognition Workshop (AIPR 2010). IEEE, 2010. http://dx.doi.org/10.1109/aipr.2010.5759694.

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Yu, Junpeng, and Weijun Gao. "A new RPCS refining method and application in geopositioning of QuickBird stereo imagery." In IGARSS 2013 - 2013 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2013. http://dx.doi.org/10.1109/igarss.2013.6721093.

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Taylor, Charles R., John T. Dolloff, Brian A. Lofy, and Steve A. Luker. "Geopositioning accuracy prediction results for registration of imaging and nonimaging sensors using moving objects." In AeroSense 2003, edited by Ivan Kadar. SPIE, 2003. http://dx.doi.org/10.1117/12.487448.

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